Overview

Dataset statistics

Number of variables19
Number of observations27075
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory152.0 B

Variable types

Numeric9
Categorical9
DateTime1

Alerts

name has a high cardinality: 27033 distinct valuesHigh cardinality
developer has a high cardinality: 17113 distinct valuesHigh cardinality
publisher has a high cardinality: 14354 distinct valuesHigh cardinality
categories has a high cardinality: 3333 distinct valuesHigh cardinality
genres has a high cardinality: 1552 distinct valuesHigh cardinality
steamspy_tags has a high cardinality: 6423 distinct valuesHigh cardinality
appid is highly overall correlated with positive_ratings and 2 other fieldsHigh correlation
positive_ratings is highly overall correlated with appid and 4 other fieldsHigh correlation
negative_ratings is highly overall correlated with appid and 4 other fieldsHigh correlation
average_playtime is highly overall correlated with positive_ratings and 2 other fieldsHigh correlation
median_playtime is highly overall correlated with positive_ratings and 2 other fieldsHigh correlation
Year is highly overall correlated with appidHigh correlation
owners is highly overall correlated with positive_ratings and 1 other fieldsHigh correlation
english is highly imbalanced (86.5%)Imbalance
platforms is highly imbalanced (53.0%)Imbalance
owners is highly imbalanced (55.1%)Imbalance
positive_ratings is highly skewed (γ1 = 106.1123909)Skewed
negative_ratings is highly skewed (γ1 = 88.63884912)Skewed
average_playtime is highly skewed (γ1 = 59.52656036)Skewed
median_playtime is highly skewed (γ1 = 64.3693666)Skewed
name is uniformly distributedUniform
appid has unique valuesUnique
required_age has 26479 (97.8%) zerosZeros
achievements has 11864 (43.8%) zerosZeros
positive_ratings has 667 (2.5%) zerosZeros
negative_ratings has 2906 (10.7%) zerosZeros
average_playtime has 20905 (77.2%) zerosZeros
median_playtime has 20905 (77.2%) zerosZeros
price has 2560 (9.5%) zerosZeros

Reproduction

Analysis started2023-04-18 07:02:05.379501
Analysis finished2023-04-18 07:02:34.015710
Duration28.64 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

appid
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27075
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596203.51
Minimum10
Maximum1069460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:34.172620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile209920
Q1401230
median599070
Q3798760
95-th percentile983011
Maximum1069460
Range1069450
Interquartile range (IQR)397530

Descriptive statistics

Standard deviation250894.17
Coefficient of variation (CV)0.42081968
Kurtosis-0.65291349
Mean596203.51
Median Absolute Deviation (MAD)198820
Skewness-0.21947853
Sum1.614221 × 1010
Variance6.2947883 × 1010
MonotonicityStrictly increasing
2023-04-18T07:02:34.454472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 1
 
< 0.1%
733550 1
 
< 0.1%
734350 1
 
< 0.1%
734330 1
 
< 0.1%
734290 1
 
< 0.1%
734120 1
 
< 0.1%
734080 1
 
< 0.1%
734020 1
 
< 0.1%
734010 1
 
< 0.1%
733990 1
 
< 0.1%
Other values (27065) 27065
> 99.9%
ValueCountFrequency (%)
10 1
< 0.1%
20 1
< 0.1%
30 1
< 0.1%
40 1
< 0.1%
50 1
< 0.1%
60 1
< 0.1%
70 1
< 0.1%
80 1
< 0.1%
130 1
< 0.1%
220 1
< 0.1%
ValueCountFrequency (%)
1069460 1
< 0.1%
1066700 1
< 0.1%
1065650 1
< 0.1%
1065570 1
< 0.1%
1065230 1
< 0.1%
1065160 1
< 0.1%
1064890 1
< 0.1%
1064580 1
< 0.1%
1064060 1
< 0.1%
1063560 1
< 0.1%

name
Categorical

HIGH CARDINALITY  UNIFORM 

Distinct27033
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Dark Matter
 
3
Castles
 
2
Killing Time
 
2
Nightmare Simulator
 
2
Surge
 
2
Other values (27028)
27064 

Length

Max length106
Median length84
Mean length17.937248
Min length1

Characters and Unicode

Total characters485651
Distinct characters1551
Distinct categories21 ?
Distinct scripts12 ?
Distinct blocks23 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26992 ?
Unique (%)99.7%

Sample

1st rowCounter-Strike
2nd rowTeam Fortress Classic
3rd rowDay of Defeat
4th rowDeathmatch Classic
5th rowHalf-Life: Opposing Force

Common Values

ValueCountFrequency (%)
Dark Matter 3
 
< 0.1%
Castles 2
 
< 0.1%
Killing Time 2
 
< 0.1%
Nightmare Simulator 2
 
< 0.1%
Surge 2
 
< 0.1%
Dodge 2
 
< 0.1%
New York Bus Simulator 2
 
< 0.1%
Santa's Workshop 2
 
< 0.1%
The Mine 2
 
< 0.1%
Fireflies 2
 
< 0.1%
Other values (27023) 27054
99.9%

Length

2023-04-18T07:02:34.758833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 3930
 
4.9%
of 2694
 
3.4%
1885
 
2.4%
vr 977
 
1.2%
2 870
 
1.1%
edition 621
 
0.8%
a 521
 
0.7%
and 476
 
0.6%
in 380
 
0.5%
game 356
 
0.4%
Other values (19799) 66988
84.1%

Most occurring characters

ValueCountFrequency (%)
52639
 
10.8%
e 42342
 
8.7%
a 29536
 
6.1%
o 27430
 
5.6%
r 26393
 
5.4%
i 25233
 
5.2%
n 23247
 
4.8%
t 22958
 
4.7%
s 18944
 
3.9%
l 17436
 
3.6%
Other values (1541) 199493
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 324096
66.7%
Uppercase Letter 87623
 
18.0%
Space Separator 52662
 
10.8%
Other Punctuation 8235
 
1.7%
Decimal Number 4834
 
1.0%
Other Letter 4533
 
0.9%
Dash Punctuation 1904
 
0.4%
Other Symbol 671
 
0.1%
Open Punctuation 291
 
0.1%
Close Punctuation 291
 
0.1%
Other values (11) 511
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
75
 
1.7%
62
 
1.4%
62
 
1.4%
51
 
1.1%
50
 
1.1%
48
 
1.1%
46
 
1.0%
43
 
0.9%
38
 
0.8%
37
 
0.8%
Other values (1277) 4021
88.7%
Lowercase Letter
ValueCountFrequency (%)
e 42342
13.1%
a 29536
 
9.1%
o 27430
 
8.5%
r 26393
 
8.1%
i 25233
 
7.8%
n 23247
 
7.2%
t 22958
 
7.1%
s 18944
 
5.8%
l 17436
 
5.4%
h 11083
 
3.4%
Other values (63) 79494
24.5%
Uppercase Letter
ValueCountFrequency (%)
S 8262
 
9.4%
T 7410
 
8.5%
R 5991
 
6.8%
A 5797
 
6.6%
C 5560
 
6.3%
D 5129
 
5.9%
E 4637
 
5.3%
M 4520
 
5.2%
B 4069
 
4.6%
P 3826
 
4.4%
Other values (46) 32422
37.0%
Other Symbol
ValueCountFrequency (%)
353
52.6%
® 263
39.2%
8
 
1.2%
° 5
 
0.7%
4
 
0.6%
🍉 4
 
0.6%
🔲 4
 
0.6%
2
 
0.3%
🐱 2
 
0.3%
🐶 2
 
0.3%
Other values (22) 24
 
3.6%
Other Punctuation
ValueCountFrequency (%)
: 4496
54.6%
' 1297
 
15.7%
. 817
 
9.9%
! 602
 
7.3%
/ 303
 
3.7%
& 232
 
2.8%
, 228
 
2.8%
? 67
 
0.8%
" 38
 
0.5%
29
 
0.4%
Other values (17) 126
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 1481
30.6%
1 862
17.8%
0 669
13.8%
3 551
 
11.4%
4 307
 
6.4%
9 225
 
4.7%
8 198
 
4.1%
5 196
 
4.1%
7 179
 
3.7%
6 147
 
3.0%
Other values (9) 19
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 92
34.3%
| 59
22.0%
+ 53
19.8%
44
16.4%
= 6
 
2.2%
> 4
 
1.5%
× 3
 
1.1%
2
 
0.7%
2
 
0.7%
1
 
0.4%
Other values (2) 2
 
0.7%
Nonspacing Mark
ValueCountFrequency (%)
4
30.8%
3
23.1%
͡ 2
15.4%
1
 
7.7%
1
 
7.7%
1
 
7.7%
͜ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 238
81.8%
24
 
8.2%
[ 23
 
7.9%
3
 
1.0%
2
 
0.7%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 238
81.8%
24
 
8.2%
] 23
 
7.9%
3
 
1.0%
2
 
0.7%
1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 1858
97.6%
28
 
1.5%
16
 
0.8%
2
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
` 11
50.0%
^ 6
27.3%
´ 3
 
13.6%
¯ 2
 
9.1%
Letter Number
ValueCountFrequency (%)
8
57.1%
2
 
14.3%
2
 
14.3%
2
 
14.3%
Space Separator
ValueCountFrequency (%)
52639
> 99.9%
  21
 
< 0.1%
  2
 
< 0.1%
Modifier Letter
ValueCountFrequency (%)
76
86.4%
ʻ 12
 
13.6%
Final Punctuation
ValueCountFrequency (%)
53
98.1%
» 1
 
1.9%
Initial Punctuation
ValueCountFrequency (%)
3
75.0%
« 1
 
25.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
66.7%
1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 37
100.0%
Other Number
ValueCountFrequency (%)
² 7
100.0%
Control
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 411500
84.7%
Common 69372
 
14.3%
Han 3331
 
0.7%
Katakana 858
 
0.2%
Hiragana 243
 
0.1%
Cyrillic 228
 
< 0.1%
Hangul 54
 
< 0.1%
Thai 38
 
< 0.1%
Arabic 13
 
< 0.1%
Greek 5
 
< 0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
51
 
1.5%
50
 
1.5%
38
 
1.1%
37
 
1.1%
34
 
1.0%
31
 
0.9%
30
 
0.9%
30
 
0.9%
29
 
0.9%
27
 
0.8%
Other values (1075) 2974
89.3%
Common
ValueCountFrequency (%)
52639
75.9%
: 4496
 
6.5%
- 1858
 
2.7%
2 1481
 
2.1%
' 1297
 
1.9%
1 862
 
1.2%
. 817
 
1.2%
0 669
 
1.0%
! 602
 
0.9%
3 551
 
0.8%
Other values (114) 4100
 
5.9%
Latin
ValueCountFrequency (%)
e 42342
 
10.3%
a 29536
 
7.2%
o 27430
 
6.7%
r 26393
 
6.4%
i 25233
 
6.1%
n 23247
 
5.6%
t 22958
 
5.6%
s 18944
 
4.6%
l 17436
 
4.2%
h 11083
 
2.7%
Other values (72) 166898
40.6%
Katakana
ValueCountFrequency (%)
62
 
7.2%
62
 
7.2%
48
 
5.6%
46
 
5.4%
43
 
5.0%
33
 
3.8%
30
 
3.5%
29
 
3.4%
28
 
3.3%
24
 
2.8%
Other values (62) 453
52.8%
Hiragana
ValueCountFrequency (%)
75
30.9%
15
 
6.2%
10
 
4.1%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
6
 
2.5%
5
 
2.1%
Other values (42) 96
39.5%
Cyrillic
ValueCountFrequency (%)
о 16
 
7.0%
и 15
 
6.6%
а 12
 
5.3%
р 10
 
4.4%
т 10
 
4.4%
И 8
 
3.5%
е 8
 
3.5%
А 8
 
3.5%
С 8
 
3.5%
н 8
 
3.5%
Other values (37) 125
54.8%
Hangul
ValueCountFrequency (%)
3
 
5.6%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
1
 
1.9%
1
 
1.9%
1
 
1.9%
Other values (35) 35
64.8%
Thai
ValueCountFrequency (%)
4
 
10.5%
4
 
10.5%
4
 
10.5%
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (11) 11
28.9%
Arabic
ValueCountFrequency (%)
ا 2
15.4%
ع 1
7.7%
ل 1
7.7%
م 1
7.7%
أ 1
7.7%
ر 1
7.7%
ي 1
7.7%
ب 1
7.7%
و 1
7.7%
ج 1
7.7%
Other values (2) 2
15.4%
Greek
ValueCountFrequency (%)
ω 2
40.0%
α 1
20.0%
Ω 1
20.0%
Θ 1
20.0%
Hebrew
ValueCountFrequency (%)
א 2
40.0%
ר 1
20.0%
ו 1
20.0%
ת 1
20.0%
Inherited
ValueCountFrequency (%)
͡ 2
50.0%
1
25.0%
͜ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 479640
98.8%
CJK 3331
 
0.7%
Katakana 956
 
0.2%
None 608
 
0.1%
Letterlike Symbols 354
 
0.1%
Hiragana 243
 
0.1%
Cyrillic 228
 
< 0.1%
Punctuation 118
 
< 0.1%
Hangul 54
 
< 0.1%
Thai 38
 
< 0.1%
Other values (13) 81
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52639
 
11.0%
e 42342
 
8.8%
a 29536
 
6.2%
o 27430
 
5.7%
r 26393
 
5.5%
i 25233
 
5.3%
n 23247
 
4.8%
t 22958
 
4.8%
s 18944
 
3.9%
l 17436
 
3.6%
Other values (82) 193482
40.3%
Letterlike Symbols
ValueCountFrequency (%)
353
99.7%
1
 
0.3%
None
ValueCountFrequency (%)
® 263
43.3%
44
 
7.2%
29
 
4.8%
24
 
3.9%
24
 
3.9%
é 22
 
3.6%
  21
 
3.5%
· 13
 
2.1%
9
 
1.5%
ó 9
 
1.5%
Other values (73) 150
24.7%
Katakana
ValueCountFrequency (%)
76
 
7.9%
62
 
6.5%
62
 
6.5%
48
 
5.0%
46
 
4.8%
43
 
4.5%
33
 
3.5%
30
 
3.1%
29
 
3.0%
28
 
2.9%
Other values (64) 499
52.2%
Hiragana
ValueCountFrequency (%)
75
30.9%
15
 
6.2%
10
 
4.1%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
7
 
2.9%
6
 
2.5%
5
 
2.1%
Other values (42) 96
39.5%
Punctuation
ValueCountFrequency (%)
53
44.9%
28
23.7%
16
 
13.6%
11
 
9.3%
7
 
5.9%
3
 
2.5%
CJK
ValueCountFrequency (%)
51
 
1.5%
50
 
1.5%
38
 
1.1%
37
 
1.1%
34
 
1.0%
31
 
0.9%
30
 
0.9%
30
 
0.9%
29
 
0.9%
27
 
0.8%
Other values (1075) 2974
89.3%
Cyrillic
ValueCountFrequency (%)
о 16
 
7.0%
и 15
 
6.6%
а 12
 
5.3%
р 10
 
4.4%
т 10
 
4.4%
И 8
 
3.5%
е 8
 
3.5%
А 8
 
3.5%
С 8
 
3.5%
н 8
 
3.5%
Other values (37) 125
54.8%
Modifier Letters
ValueCountFrequency (%)
ʻ 12
100.0%
Dingbats
ValueCountFrequency (%)
8
80.0%
1
 
10.0%
1
 
10.0%
Number Forms
ValueCountFrequency (%)
8
57.1%
2
 
14.3%
2
 
14.3%
2
 
14.3%
Misc Symbols
ValueCountFrequency (%)
4
25.0%
2
12.5%
2
12.5%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
1
 
6.2%
Thai
ValueCountFrequency (%)
4
 
10.5%
4
 
10.5%
4
 
10.5%
3
 
7.9%
3
 
7.9%
3
 
7.9%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (11) 11
28.9%
Hangul
ValueCountFrequency (%)
3
 
5.6%
3
 
5.6%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
2
 
3.7%
1
 
1.9%
1
 
1.9%
1
 
1.9%
Other values (35) 35
64.8%
Diacriticals
ValueCountFrequency (%)
͡ 2
66.7%
͜ 1
33.3%
Hebrew
ValueCountFrequency (%)
א 2
40.0%
ר 1
20.0%
ו 1
20.0%
ת 1
20.0%
Math Operators
ValueCountFrequency (%)
2
66.7%
1
33.3%
Arabic
ValueCountFrequency (%)
ا 2
15.4%
ع 1
7.7%
ل 1
7.7%
م 1
7.7%
أ 1
7.7%
ر 1
7.7%
ي 1
7.7%
ب 1
7.7%
و 1
7.7%
ج 1
7.7%
Other values (2) 2
15.4%
VS
ValueCountFrequency (%)
1
100.0%
Emoticons
ValueCountFrequency (%)
😱 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
IPA Ext
ValueCountFrequency (%)
ʖ 1
100.0%
Distinct2619
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Minimum1997-06-30 00:00:00
Maximum2019-05-01 00:00:00
2023-04-18T07:02:35.034367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:35.283495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

english
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
1
26564 
0
 
511

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters27075
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

Length

2023-04-18T07:02:35.507146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T07:02:35.709277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

Most occurring characters

ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27075
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Common 27075
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26564
98.1%
0 511
 
1.9%

developer
Categorical

Distinct17113
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Choice of Games
 
94
KOEI TECMO GAMES CO., LTD.
 
72
Ripknot Systems
 
62
Laush Dmitriy Sergeevich
 
51
Nikita "Ghost_RUS"
 
50
Other values (17108)
26746 

Length

Max length239
Median length135
Mean length14.891302
Min length1

Characters and Unicode

Total characters403182
Distinct characters746
Distinct categories18 ?
Distinct scripts9 ?
Distinct blocks14 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13266 ?
Unique (%)49.0%

Sample

1st rowValve
2nd rowValve
3rd rowValve
4th rowValve
5th rowGearbox Software

Common Values

ValueCountFrequency (%)
Choice of Games 94
 
0.3%
KOEI TECMO GAMES CO., LTD. 72
 
0.3%
Ripknot Systems 62
 
0.2%
Laush Dmitriy Sergeevich 51
 
0.2%
Nikita "Ghost_RUS" 50
 
0.2%
Dexion Games 45
 
0.2%
RewindApp 43
 
0.2%
Hosted Games 42
 
0.2%
Blender Games 40
 
0.1%
For Kids 36
 
0.1%
Other values (17103) 26540
98.0%

Length

2023-04-18T07:02:35.948592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
games 4844
 
8.6%
studios 1838
 
3.2%
studio 1470
 
2.6%
entertainment 753
 
1.3%
ltd 750
 
1.3%
inc 726
 
1.3%
interactive 572
 
1.0%
llc 561
 
1.0%
software 534
 
0.9%
game 477
 
0.8%
Other values (18037) 44129
77.9%

Most occurring characters

ValueCountFrequency (%)
e 34354
 
8.5%
a 29958
 
7.4%
29599
 
7.3%
i 24441
 
6.1%
o 23568
 
5.8%
t 22112
 
5.5%
n 19435
 
4.8%
r 18855
 
4.7%
s 18575
 
4.6%
m 13322
 
3.3%
Other values (736) 168963
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 286658
71.1%
Uppercase Letter 76152
 
18.9%
Space Separator 29600
 
7.3%
Other Punctuation 6074
 
1.5%
Decimal Number 1819
 
0.5%
Other Letter 1651
 
0.4%
Dash Punctuation 580
 
0.1%
Close Punctuation 190
 
< 0.1%
Open Punctuation 190
 
< 0.1%
Connector Punctuation 180
 
< 0.1%
Other values (8) 88
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
2.7%
40
 
2.4%
39
 
2.4%
38
 
2.3%
37
 
2.2%
33
 
2.0%
33
 
2.0%
33
 
2.0%
33
 
2.0%
32
 
1.9%
Other values (530) 1288
78.0%
Lowercase Letter
ValueCountFrequency (%)
e 34354
12.0%
a 29958
10.5%
i 24441
 
8.5%
o 23568
 
8.2%
t 22112
 
7.7%
n 19435
 
6.8%
r 18855
 
6.6%
s 18575
 
6.5%
m 13322
 
4.6%
l 12026
 
4.2%
Other values (79) 70012
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 9751
 
12.8%
G 8446
 
11.1%
C 4718
 
6.2%
L 4499
 
5.9%
A 4265
 
5.6%
T 3830
 
5.0%
M 3795
 
5.0%
E 3664
 
4.8%
D 3514
 
4.6%
I 3461
 
4.5%
Other values (45) 26209
34.4%
Other Punctuation
ValueCountFrequency (%)
. 2385
39.3%
; 2248
37.0%
, 910
 
15.0%
' 181
 
3.0%
" 124
 
2.0%
& 77
 
1.3%
/ 50
 
0.8%
! 39
 
0.6%
: 33
 
0.5%
@ 12
 
0.2%
Other values (8) 15
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 336
18.5%
3 298
16.4%
2 228
12.5%
7 199
10.9%
0 194
10.7%
4 185
10.2%
8 128
 
7.0%
9 96
 
5.3%
5 85
 
4.7%
6 70
 
3.8%
Other Symbol
ValueCountFrequency (%)
28
50.9%
® 13
23.6%
3
 
5.5%
3
 
5.5%
3
 
5.5%
2
 
3.6%
° 1
 
1.8%
© 1
 
1.8%
1
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 10
50.0%
× 4
 
20.0%
| 4
 
20.0%
= 1
 
5.0%
1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 179
94.2%
] 7
 
3.7%
} 3
 
1.6%
1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 179
94.2%
[ 7
 
3.7%
{ 3
 
1.6%
1
 
0.5%
Space Separator
ValueCountFrequency (%)
29599
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 579
99.8%
1
 
0.2%
Final Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 180
100.0%
Modifier Letter
ValueCountFrequency (%)
4
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Format
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 362608
89.9%
Common 38721
 
9.6%
Han 1478
 
0.4%
Cyrillic 199
 
< 0.1%
Katakana 91
 
< 0.1%
Hiragana 71
 
< 0.1%
Arabic 8
 
< 0.1%
Greek 3
 
< 0.1%
Hangul 3
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
45
 
3.0%
40
 
2.7%
39
 
2.6%
38
 
2.6%
37
 
2.5%
33
 
2.2%
33
 
2.2%
33
 
2.2%
33
 
2.2%
32
 
2.2%
Other values (461) 1115
75.4%
Latin
ValueCountFrequency (%)
e 34354
 
9.5%
a 29958
 
8.3%
i 24441
 
6.7%
o 23568
 
6.5%
t 22112
 
6.1%
n 19435
 
5.4%
r 18855
 
5.2%
s 18575
 
5.1%
m 13322
 
3.7%
l 12026
 
3.3%
Other values (93) 145962
40.3%
Common
ValueCountFrequency (%)
29599
76.4%
. 2385
 
6.2%
; 2248
 
5.8%
, 910
 
2.4%
- 579
 
1.5%
1 336
 
0.9%
3 298
 
0.8%
2 228
 
0.6%
7 199
 
0.5%
0 194
 
0.5%
Other values (52) 1745
 
4.5%
Cyrillic
ValueCountFrequency (%)
К 22
 
11.1%
о 19
 
9.5%
и 18
 
9.0%
е 18
 
9.0%
в 10
 
5.0%
а 10
 
5.0%
л 9
 
4.5%
д 8
 
4.0%
к 8
 
4.0%
р 8
 
4.0%
Other values (28) 69
34.7%
Katakana
ValueCountFrequency (%)
12
 
13.2%
8
 
8.8%
8
 
8.8%
7
 
7.7%
7
 
7.7%
4
 
4.4%
4
 
4.4%
3
 
3.3%
3
 
3.3%
3
 
3.3%
Other values (22) 32
35.2%
Hiragana
ValueCountFrequency (%)
7
 
9.9%
6
 
8.5%
5
 
7.0%
5
 
7.0%
5
 
7.0%
4
 
5.6%
4
 
5.6%
4
 
5.6%
4
 
5.6%
3
 
4.2%
Other values (16) 24
33.8%
Arabic
ValueCountFrequency (%)
ض 1
12.5%
ل 1
12.5%
ا 1
12.5%
ش 1
12.5%
ق 1
12.5%
ن 1
12.5%
و 1
12.5%
ء 1
12.5%
Greek
ValueCountFrequency (%)
α 1
33.3%
η 1
33.3%
π 1
33.3%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400876
99.4%
CJK 1478
 
0.4%
None 403
 
0.1%
Cyrillic 199
 
< 0.1%
Katakana 95
 
< 0.1%
Hiragana 71
 
< 0.1%
Letterlike Symbols 28
 
< 0.1%
Geometric Shapes 10
 
< 0.1%
Arabic 8
 
< 0.1%
Punctuation 7
 
< 0.1%
Other values (4) 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 34354
 
8.6%
a 29958
 
7.5%
29599
 
7.4%
i 24441
 
6.1%
o 23568
 
5.9%
t 22112
 
5.5%
n 19435
 
4.8%
r 18855
 
4.7%
s 18575
 
4.6%
m 13322
 
3.3%
Other values (80) 166657
41.6%
None
ValueCountFrequency (%)
é 62
15.4%
ö 40
 
9.9%
ä 37
 
9.2%
ü 29
 
7.2%
í 22
 
5.5%
á 15
 
3.7%
ł 13
 
3.2%
® 13
 
3.2%
ç 12
 
3.0%
š 11
 
2.7%
Other values (53) 149
37.0%
CJK
ValueCountFrequency (%)
45
 
3.0%
40
 
2.7%
39
 
2.6%
38
 
2.6%
37
 
2.5%
33
 
2.2%
33
 
2.2%
33
 
2.2%
33
 
2.2%
32
 
2.2%
Other values (461) 1115
75.4%
Letterlike Symbols
ValueCountFrequency (%)
28
100.0%
Cyrillic
ValueCountFrequency (%)
К 22
 
11.1%
о 19
 
9.5%
и 18
 
9.0%
е 18
 
9.0%
в 10
 
5.0%
а 10
 
5.0%
л 9
 
4.5%
д 8
 
4.0%
к 8
 
4.0%
р 8
 
4.0%
Other values (28) 69
34.7%
Katakana
ValueCountFrequency (%)
12
 
12.6%
8
 
8.4%
8
 
8.4%
7
 
7.4%
7
 
7.4%
4
 
4.2%
4
 
4.2%
4
 
4.2%
3
 
3.2%
3
 
3.2%
Other values (23) 35
36.8%
Hiragana
ValueCountFrequency (%)
7
 
9.9%
6
 
8.5%
5
 
7.0%
5
 
7.0%
5
 
7.0%
4
 
5.6%
4
 
5.6%
4
 
5.6%
4
 
5.6%
3
 
4.2%
Other values (16) 24
33.8%
Geometric Shapes
ValueCountFrequency (%)
3
30.0%
3
30.0%
3
30.0%
1
 
10.0%
Punctuation
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
Arabic
ValueCountFrequency (%)
ض 1
12.5%
ل 1
12.5%
ا 1
12.5%
ش 1
12.5%
ق 1
12.5%
ن 1
12.5%
و 1
12.5%
ء 1
12.5%
Math Operators
ValueCountFrequency (%)
1
100.0%
IPA Ext
ValueCountFrequency (%)
ɛ 1
100.0%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

publisher
Categorical

Distinct14354
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Big Fish Games
 
212
Strategy First
 
136
Ubisoft
 
111
THQ Nordic
 
98
Square Enix
 
97
Other values (14349)
26421 

Length

Max length129
Median length68
Mean length14.423416
Min length1

Characters and Unicode

Total characters390514
Distinct characters667
Distinct categories17 ?
Distinct scripts9 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11047 ?
Unique (%)40.8%

Sample

1st rowValve
2nd rowValve
3rd rowValve
4th rowValve
5th rowValve

Common Values

ValueCountFrequency (%)
Big Fish Games 212
 
0.8%
Strategy First 136
 
0.5%
Ubisoft 111
 
0.4%
THQ Nordic 98
 
0.4%
Square Enix 97
 
0.4%
Sekai Project 96
 
0.4%
Choice of Games 94
 
0.3%
1C Entertainment 88
 
0.3%
Dagestan Technology 88
 
0.3%
SEGA 78
 
0.3%
Other values (14344) 25977
95.9%

Length

2023-04-18T07:02:36.255728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
games 4833
 
8.6%
studios 1574
 
2.8%
studio 1249
 
2.2%
entertainment 1072
 
1.9%
ltd 955
 
1.7%
interactive 873
 
1.6%
inc 738
 
1.3%
llc 669
 
1.2%
digital 525
 
0.9%
game 409
 
0.7%
Other values (14505) 42982
76.9%

Most occurring characters

ValueCountFrequency (%)
e 33831
 
8.7%
29030
 
7.4%
a 28174
 
7.2%
i 24787
 
6.3%
t 22860
 
5.9%
o 21046
 
5.4%
n 19027
 
4.9%
s 18053
 
4.6%
r 18021
 
4.6%
m 13023
 
3.3%
Other values (657) 162662
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 277767
71.1%
Uppercase Letter 74662
 
19.1%
Space Separator 29031
 
7.4%
Other Punctuation 4891
 
1.3%
Decimal Number 1780
 
0.5%
Other Letter 1415
 
0.4%
Dash Punctuation 408
 
0.1%
Close Punctuation 163
 
< 0.1%
Open Punctuation 163
 
< 0.1%
Connector Punctuation 160
 
< 0.1%
Other values (7) 74
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
3.0%
39
 
2.8%
38
 
2.7%
36
 
2.5%
35
 
2.5%
34
 
2.4%
34
 
2.4%
34
 
2.4%
32
 
2.3%
21
 
1.5%
Other values (467) 1070
75.6%
Lowercase Letter
ValueCountFrequency (%)
e 33831
12.2%
a 28174
10.1%
i 24787
 
8.9%
t 22860
 
8.2%
o 21046
 
7.6%
n 19027
 
6.8%
s 18053
 
6.5%
r 18021
 
6.5%
m 13023
 
4.7%
l 11261
 
4.1%
Other values (74) 67684
24.4%
Uppercase Letter
ValueCountFrequency (%)
S 8957
 
12.0%
G 8421
 
11.3%
L 4629
 
6.2%
A 4410
 
5.9%
C 4271
 
5.7%
I 3983
 
5.3%
D 3804
 
5.1%
E 3762
 
5.0%
M 3728
 
5.0%
T 3478
 
4.7%
Other values (40) 25219
33.8%
Other Punctuation
ValueCountFrequency (%)
. 2706
55.3%
; 968
 
19.8%
, 897
 
18.3%
' 137
 
2.8%
& 68
 
1.4%
! 39
 
0.8%
/ 31
 
0.6%
: 15
 
0.3%
" 8
 
0.2%
@ 7
 
0.1%
Other values (8) 15
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 407
22.9%
3 248
13.9%
2 232
13.0%
0 190
10.7%
7 171
9.6%
4 156
 
8.8%
8 150
 
8.4%
5 110
 
6.2%
9 75
 
4.2%
6 41
 
2.3%
Other Symbol
ValueCountFrequency (%)
18
48.6%
® 14
37.8%
© 2
 
5.4%
2
 
5.4%
1
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 154
94.5%
4
 
2.5%
} 3
 
1.8%
] 2
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 154
94.5%
4
 
2.5%
{ 3
 
1.8%
[ 2
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 9
75.0%
= 1
 
8.3%
× 1
 
8.3%
| 1
 
8.3%
Space Separator
ValueCountFrequency (%)
29030
> 99.9%
  1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 407
99.8%
1
 
0.2%
Format
ValueCountFrequency (%)
1
50.0%
1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 160
100.0%
Control
ValueCountFrequency (%)
19
100.0%
Modifier Letter
ValueCountFrequency (%)
2
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 352244
90.2%
Common 36670
 
9.4%
Han 1318
 
0.3%
Cyrillic 183
 
< 0.1%
Hiragana 46
 
< 0.1%
Katakana 40
 
< 0.1%
Arabic 8
 
< 0.1%
Hangul 3
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
42
 
3.2%
39
 
3.0%
38
 
2.9%
36
 
2.7%
35
 
2.7%
34
 
2.6%
34
 
2.6%
34
 
2.6%
32
 
2.4%
21
 
1.6%
Other values (422) 973
73.8%
Latin
ValueCountFrequency (%)
e 33831
 
9.6%
a 28174
 
8.0%
i 24787
 
7.0%
t 22860
 
6.5%
o 21046
 
6.0%
n 19027
 
5.4%
s 18053
 
5.1%
r 18021
 
5.1%
m 13023
 
3.7%
l 11261
 
3.2%
Other values (89) 142161
40.4%
Common
ValueCountFrequency (%)
29030
79.2%
. 2706
 
7.4%
; 968
 
2.6%
, 897
 
2.4%
1 407
 
1.1%
- 407
 
1.1%
3 248
 
0.7%
2 232
 
0.6%
0 190
 
0.5%
7 171
 
0.5%
Other values (46) 1414
 
3.9%
Cyrillic
ValueCountFrequency (%)
К 39
21.3%
и 26
14.2%
о 24
13.1%
е 11
 
6.0%
а 8
 
4.4%
в 8
 
4.4%
г 7
 
3.8%
л 6
 
3.3%
с 5
 
2.7%
к 4
 
2.2%
Other values (23) 45
24.6%
Hiragana
ValueCountFrequency (%)
6
13.0%
5
10.9%
5
10.9%
4
8.7%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
2
 
4.3%
Other values (8) 9
19.6%
Katakana
ValueCountFrequency (%)
6
15.0%
4
10.0%
4
10.0%
3
7.5%
3
7.5%
3
7.5%
3
7.5%
3
7.5%
2
 
5.0%
2
 
5.0%
Other values (6) 7
17.5%
Arabic
ValueCountFrequency (%)
ن 1
12.5%
ء 1
12.5%
و 1
12.5%
ض 1
12.5%
ل 1
12.5%
ا 1
12.5%
ش 1
12.5%
ق 1
12.5%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Greek
ValueCountFrequency (%)
η 1
50.0%
α 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 388601
99.5%
CJK 1318
 
0.3%
None 287
 
0.1%
Cyrillic 183
 
< 0.1%
Hiragana 46
 
< 0.1%
Katakana 42
 
< 0.1%
Letterlike Symbols 18
 
< 0.1%
Arabic 8
 
< 0.1%
Punctuation 5
 
< 0.1%
Hangul 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 33831
 
8.7%
29030
 
7.5%
a 28174
 
7.3%
i 24787
 
6.4%
t 22860
 
5.9%
o 21046
 
5.4%
n 19027
 
4.9%
s 18053
 
4.6%
r 18021
 
4.6%
m 13023
 
3.4%
Other values (81) 160749
41.4%
CJK
ValueCountFrequency (%)
42
 
3.2%
39
 
3.0%
38
 
2.9%
36
 
2.7%
35
 
2.7%
34
 
2.6%
34
 
2.6%
34
 
2.6%
32
 
2.4%
21
 
1.6%
Other values (422) 973
73.8%
None
ValueCountFrequency (%)
é 42
 
14.6%
ö 21
 
7.3%
ä 21
 
7.3%
ü 21
 
7.3%
í 15
 
5.2%
® 14
 
4.9%
ï 13
 
4.5%
ç 12
 
4.2%
š 11
 
3.8%
ğ 11
 
3.8%
Other values (48) 106
36.9%
Cyrillic
ValueCountFrequency (%)
К 39
21.3%
и 26
14.2%
о 24
13.1%
е 11
 
6.0%
а 8
 
4.4%
в 8
 
4.4%
г 7
 
3.8%
л 6
 
3.3%
с 5
 
2.7%
к 4
 
2.2%
Other values (23) 45
24.6%
Letterlike Symbols
ValueCountFrequency (%)
18
100.0%
Katakana
ValueCountFrequency (%)
6
14.3%
4
9.5%
4
9.5%
3
 
7.1%
3
 
7.1%
3
 
7.1%
3
 
7.1%
3
 
7.1%
2
 
4.8%
2
 
4.8%
Other values (7) 9
21.4%
Hiragana
ValueCountFrequency (%)
6
13.0%
5
10.9%
5
10.9%
4
8.7%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
2
 
4.3%
Other values (8) 9
19.6%
Punctuation
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Misc Symbols
ValueCountFrequency (%)
2
100.0%
Geometric Shapes
ValueCountFrequency (%)
1
100.0%
Arabic
ValueCountFrequency (%)
ن 1
12.5%
ء 1
12.5%
و 1
12.5%
ض 1
12.5%
ل 1
12.5%
ا 1
12.5%
ش 1
12.5%
ق 1
12.5%
Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

platforms
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
windows
18398 
windows;mac;linux
4623 
windows;mac
3439 
windows;linux
 
610
mac
 
3
Other values (2)
 
2

Length

Max length17
Median length7
Mean length9.3502862
Min length3

Characters and Unicode

Total characters253159
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowwindows;mac;linux
2nd rowwindows;mac;linux
3rd rowwindows;mac;linux
4th rowwindows;mac;linux
5th rowwindows;mac;linux

Common Values

ValueCountFrequency (%)
windows 18398
68.0%
windows;mac;linux 4623
 
17.1%
windows;mac 3439
 
12.7%
windows;linux 610
 
2.3%
mac 3
 
< 0.1%
mac;linux 1
 
< 0.1%
linux 1
 
< 0.1%

Length

2023-04-18T07:02:36.525319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-04-18T07:02:36.769167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
windows 18398
68.0%
windows;mac;linux 4623
 
17.1%
windows;mac 3439
 
12.7%
windows;linux 610
 
2.3%
mac 3
 
< 0.1%
mac;linux 1
 
< 0.1%
linux 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
w 54140
21.4%
i 32305
12.8%
n 32305
12.8%
d 27070
10.7%
o 27070
10.7%
s 27070
10.7%
; 13296
 
5.3%
m 8066
 
3.2%
a 8066
 
3.2%
c 8066
 
3.2%
Other values (3) 15705
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 239863
94.7%
Other Punctuation 13296
 
5.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 54140
22.6%
i 32305
13.5%
n 32305
13.5%
d 27070
11.3%
o 27070
11.3%
s 27070
11.3%
m 8066
 
3.4%
a 8066
 
3.4%
c 8066
 
3.4%
l 5235
 
2.2%
Other values (2) 10470
 
4.4%
Other Punctuation
ValueCountFrequency (%)
; 13296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 239863
94.7%
Common 13296
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 54140
22.6%
i 32305
13.5%
n 32305
13.5%
d 27070
11.3%
o 27070
11.3%
s 27070
11.3%
m 8066
 
3.4%
a 8066
 
3.4%
c 8066
 
3.4%
l 5235
 
2.2%
Other values (2) 10470
 
4.4%
Common
ValueCountFrequency (%)
; 13296
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253159
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 54140
21.4%
i 32305
12.8%
n 32305
12.8%
d 27070
10.7%
o 27070
10.7%
s 27070
10.7%
; 13296
 
5.3%
m 8066
 
3.2%
a 8066
 
3.2%
c 8066
 
3.2%
Other values (3) 15705
 
6.2%

required_age
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35490305
Minimum0
Maximum18
Zeros26479
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:36.970017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4060444
Coefficient of variation (CV)6.7794415
Kurtosis44.100757
Mean0.35490305
Median Absolute Deviation (MAD)0
Skewness6.7496895
Sum9609
Variance5.7890499
MonotonicityNot monotonic
2023-04-18T07:02:37.149483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 26479
97.8%
18 308
 
1.1%
16 192
 
0.7%
12 73
 
0.3%
7 12
 
< 0.1%
3 11
 
< 0.1%
ValueCountFrequency (%)
0 26479
97.8%
3 11
 
< 0.1%
7 12
 
< 0.1%
12 73
 
0.3%
16 192
 
0.7%
18 308
 
1.1%
ValueCountFrequency (%)
18 308
 
1.1%
16 192
 
0.7%
12 73
 
0.3%
7 12
 
< 0.1%
3 11
 
< 0.1%
0 26479
97.8%

categories
Categorical

Distinct3333
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Single-player
6110 
Single-player;Steam Achievements
2334 
Single-player;Steam Achievements;Steam Trading Cards
 
848
Single-player;Partial Controller Support
 
804
Single-player;Steam Trading Cards
 
792
Other values (3328)
16187 

Length

Max length299
Median length264
Mean length55.001736
Min length3

Characters and Unicode

Total characters1489172
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2143 ?
Unique (%)7.9%

Sample

1st rowMulti-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabled
2nd rowMulti-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabled
3rd rowMulti-player;Valve Anti-Cheat enabled
4th rowMulti-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabled
5th rowSingle-player;Multi-player;Valve Anti-Cheat enabled

Common Values

ValueCountFrequency (%)
Single-player 6110
22.6%
Single-player;Steam Achievements 2334
 
8.6%
Single-player;Steam Achievements;Steam Trading Cards 848
 
3.1%
Single-player;Partial Controller Support 804
 
3.0%
Single-player;Steam Trading Cards 792
 
2.9%
Single-player;Steam Achievements;Steam Cloud 653
 
2.4%
Single-player;Steam Achievements;Steam Trading Cards;Steam Cloud 652
 
2.4%
Single-player;Steam Achievements;Full controller support;Steam Trading Cards;Steam Cloud 585
 
2.2%
Single-player;Full controller support 562
 
2.1%
Single-player;Steam Achievements;Full controller support 477
 
1.8%
Other values (3323) 13258
49.0%

Length

2023-04-18T07:02:37.422407image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
single-player;steam 12467
 
12.2%
controller 9929
 
9.7%
trading 7918
 
7.7%
single-player 6110
 
6.0%
support;steam 5384
 
5.3%
achievements;steam 5234
 
5.1%
cloud 4720
 
4.6%
achievements;full 4420
 
4.3%
support 4093
 
4.0%
cards;steam 3342
 
3.3%
Other values (266) 38586
37.8%

Most occurring characters

ValueCountFrequency (%)
e 169801
 
11.4%
l 127017
 
8.5%
a 112003
 
7.5%
r 101134
 
6.8%
t 90560
 
6.1%
75128
 
5.0%
S 72253
 
4.9%
n 69863
 
4.7%
i 69773
 
4.7%
; 62651
 
4.2%
Other values (36) 538989
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1149993
77.2%
Uppercase Letter 159775
 
10.7%
Space Separator 75128
 
5.0%
Other Punctuation 64803
 
4.4%
Dash Punctuation 39470
 
2.7%
Open Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 169801
14.8%
l 127017
11.0%
a 112003
9.7%
r 101134
8.8%
t 90560
 
7.9%
n 69863
 
6.1%
i 69773
 
6.1%
p 60054
 
5.2%
o 57113
 
5.0%
m 49205
 
4.3%
Other values (12) 243470
21.2%
Uppercase Letter
ValueCountFrequency (%)
S 72253
45.2%
C 25302
 
15.8%
A 14914
 
9.3%
P 10107
 
6.3%
M 10002
 
6.3%
T 7981
 
5.0%
L 6114
 
3.8%
F 5695
 
3.6%
O 3979
 
2.5%
I 1761
 
1.1%
Other values (7) 1667
 
1.0%
Other Punctuation
ValueCountFrequency (%)
; 62651
96.7%
/ 2152
 
3.3%
Space Separator
ValueCountFrequency (%)
75128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1309768
88.0%
Common 179404
 
12.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 169801
13.0%
l 127017
 
9.7%
a 112003
 
8.6%
r 101134
 
7.7%
t 90560
 
6.9%
S 72253
 
5.5%
n 69863
 
5.3%
i 69773
 
5.3%
p 60054
 
4.6%
o 57113
 
4.4%
Other values (29) 380197
29.0%
Common
ValueCountFrequency (%)
75128
41.9%
; 62651
34.9%
- 39470
22.0%
/ 2152
 
1.2%
( 1
 
< 0.1%
2 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1489172
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 169801
 
11.4%
l 127017
 
8.5%
a 112003
 
7.5%
r 101134
 
6.8%
t 90560
 
6.1%
75128
 
5.0%
S 72253
 
4.9%
n 69863
 
4.7%
i 69773
 
4.7%
; 62651
 
4.2%
Other values (36) 538989
36.2%

genres
Categorical

Distinct1552
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Action;Indie
 
1852
Casual;Indie
 
1482
Action;Adventure;Indie
 
1229
Adventure;Indie
 
1170
Action;Casual;Indie
 
1004
Other values (1547)
20338 

Length

Max length210
Median length102
Mean length21.503786
Min length3

Characters and Unicode

Total characters582215
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)2.8%

Sample

1st rowAction
2nd rowAction
3rd rowAction
4th rowAction
5th rowAction

Common Values

ValueCountFrequency (%)
Action;Indie 1852
 
6.8%
Casual;Indie 1482
 
5.5%
Action;Adventure;Indie 1229
 
4.5%
Adventure;Indie 1170
 
4.3%
Action;Casual;Indie 1004
 
3.7%
Action 843
 
3.1%
Adventure;Casual;Indie 801
 
3.0%
Indie 759
 
2.8%
Casual 560
 
2.1%
Adventure 535
 
2.0%
Other values (1542) 16840
62.2%

Length

2023-04-18T07:02:37.715032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
access 2953
 
8.5%
action;indie 1852
 
5.3%
to 1704
 
4.9%
casual;indie 1482
 
4.2%
action;adventure;indie 1229
 
3.5%
adventure;indie 1170
 
3.4%
action;casual;indie 1004
 
2.9%
action 843
 
2.4%
adventure;casual;indie 801
 
2.3%
indie 759
 
2.2%
Other values (1165) 21095
60.5%

Most occurring characters

ValueCountFrequency (%)
e 54888
 
9.4%
n 49568
 
8.5%
; 49387
 
8.5%
i 46474
 
8.0%
t 43714
 
7.5%
a 38532
 
6.6%
d 29995
 
5.2%
u 26940
 
4.6%
A 25003
 
4.3%
l 23764
 
4.1%
Other values (31) 193950
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 433814
74.5%
Uppercase Letter 91031
 
15.6%
Other Punctuation 49553
 
8.5%
Space Separator 7817
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 54888
12.7%
n 49568
11.4%
i 46474
10.7%
t 43714
10.1%
a 38532
8.9%
d 29995
6.9%
u 26940
 
6.2%
l 23764
 
5.5%
r 22737
 
5.2%
o 22325
 
5.1%
Other values (12) 74877
17.3%
Uppercase Letter
ValueCountFrequency (%)
A 25003
27.5%
I 19508
21.4%
S 12039
13.2%
C 10455
11.5%
P 6122
 
6.7%
R 5335
 
5.9%
G 4865
 
5.3%
E 3017
 
3.3%
F 1704
 
1.9%
M 1525
 
1.7%
Other values (6) 1458
 
1.6%
Other Punctuation
ValueCountFrequency (%)
; 49387
99.7%
& 166
 
0.3%
Space Separator
ValueCountFrequency (%)
7817
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 524845
90.1%
Common 57370
 
9.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 54888
 
10.5%
n 49568
 
9.4%
i 46474
 
8.9%
t 43714
 
8.3%
a 38532
 
7.3%
d 29995
 
5.7%
u 26940
 
5.1%
A 25003
 
4.8%
l 23764
 
4.5%
r 22737
 
4.3%
Other values (28) 163230
31.1%
Common
ValueCountFrequency (%)
; 49387
86.1%
7817
 
13.6%
& 166
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 582215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 54888
 
9.4%
n 49568
 
8.5%
; 49387
 
8.5%
i 46474
 
8.0%
t 43714
 
7.5%
a 38532
 
6.6%
d 29995
 
5.2%
u 26940
 
4.6%
A 25003
 
4.3%
l 23764
 
4.1%
Other values (31) 193950
33.3%

steamspy_tags
Categorical

Distinct6423
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
Action;Indie;Casual
 
845
Action;Adventure;Indie
 
714
Early Access;Action;Indie
 
507
Adventure;Indie;Casual
 
442
Indie;Casual
 
378
Other values (6418)
24189 

Length

Max length59
Median length54
Mean length23.053629
Min length3

Characters and Unicode

Total characters624177
Distinct characters66
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4264 ?
Unique (%)15.7%

Sample

1st rowAction;FPS;Multiplayer
2nd rowAction;FPS;Multiplayer
3rd rowFPS;World War II;Multiplayer
4th rowAction;FPS;Multiplayer
5th rowFPS;Action;Sci-fi

Common Values

ValueCountFrequency (%)
Action;Indie;Casual 845
 
3.1%
Action;Adventure;Indie 714
 
2.6%
Early Access;Action;Indie 507
 
1.9%
Adventure;Indie;Casual 442
 
1.6%
Indie;Casual 378
 
1.4%
Action;Indie;Adventure 328
 
1.2%
Action;Indie 290
 
1.1%
Adventure;Casual;Hidden Object 244
 
0.9%
Indie;Casual;Puzzle 236
 
0.9%
Indie;Casual;Simulation 229
 
0.8%
Other values (6413) 22862
84.4%

Length

2023-04-18T07:02:37.998379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
early 2955
 
7.2%
to 1662
 
4.1%
free 1207
 
2.9%
action;indie;casual 845
 
2.1%
action;adventure;indie 714
 
1.7%
628
 
1.5%
access;action;indie 507
 
1.2%
adventure;indie;casual 442
 
1.1%
object 380
 
0.9%
indie;casual 378
 
0.9%
Other values (6335) 31312
76.3%

Most occurring characters

ValueCountFrequency (%)
e 57628
 
9.2%
; 50927
 
8.2%
n 45956
 
7.4%
i 45537
 
7.3%
t 42435
 
6.8%
a 39782
 
6.4%
r 28288
 
4.5%
d 28077
 
4.5%
l 27633
 
4.4%
o 26503
 
4.2%
Other values (56) 231411
37.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 457438
73.3%
Uppercase Letter 99152
 
15.9%
Other Punctuation 51855
 
8.3%
Space Separator 13957
 
2.2%
Dash Punctuation 1197
 
0.2%
Decimal Number 578
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 22111
22.3%
I 16637
16.8%
S 11773
11.9%
C 10409
10.5%
P 8702
 
8.8%
R 5675
 
5.7%
G 4434
 
4.5%
E 3426
 
3.5%
F 3042
 
3.1%
M 2472
 
2.5%
Other values (16) 10471
10.6%
Lowercase Letter
ValueCountFrequency (%)
e 57628
12.6%
n 45956
10.0%
i 45537
10.0%
t 42435
9.3%
a 39782
8.7%
r 28288
 
6.2%
d 28077
 
6.1%
l 27633
 
6.0%
o 26503
 
5.8%
u 25270
 
5.5%
Other values (15) 90329
19.7%
Decimal Number
ValueCountFrequency (%)
2 205
35.5%
3 168
29.1%
4 110
19.0%
0 45
 
7.8%
9 20
 
3.5%
1 13
 
2.2%
6 10
 
1.7%
8 6
 
1.0%
5 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
; 50927
98.2%
& 628
 
1.2%
' 299
 
0.6%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1197
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 556590
89.2%
Common 67587
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 57628
 
10.4%
n 45956
 
8.3%
i 45537
 
8.2%
t 42435
 
7.6%
a 39782
 
7.1%
r 28288
 
5.1%
d 28077
 
5.0%
l 27633
 
5.0%
o 26503
 
4.8%
u 25270
 
4.5%
Other values (41) 189481
34.0%
Common
ValueCountFrequency (%)
; 50927
75.4%
13957
 
20.7%
- 1197
 
1.8%
& 628
 
0.9%
' 299
 
0.4%
2 205
 
0.3%
3 168
 
0.2%
4 110
 
0.2%
0 45
 
0.1%
9 20
 
< 0.1%
Other values (5) 31
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 57628
 
9.2%
; 50927
 
8.2%
n 45956
 
7.4%
i 45537
 
7.3%
t 42435
 
6.8%
a 39782
 
6.4%
r 28288
 
4.5%
d 28077
 
4.5%
l 27633
 
4.4%
o 26503
 
4.2%
Other values (56) 231411
37.1%

achievements
Real number (ℝ)

Distinct410
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.248864
Minimum0
Maximum9821
Zeros11864
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:38.265043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q323
95-th percentile67
Maximum9821
Range9821
Interquartile range (IQR)23

Descriptive statistics

Standard deviation352.67028
Coefficient of variation (CV)7.794014
Kurtosis191.19117
Mean45.248864
Median Absolute Deviation (MAD)7
Skewness13.431021
Sum1225113
Variance124376.33
MonotonicityNot monotonic
2023-04-18T07:02:38.524067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11864
43.8%
10 679
 
2.5%
12 618
 
2.3%
20 574
 
2.1%
15 490
 
1.8%
13 474
 
1.8%
11 442
 
1.6%
8 434
 
1.6%
16 418
 
1.5%
14 418
 
1.5%
Other values (400) 10664
39.4%
ValueCountFrequency (%)
0 11864
43.8%
1 266
 
1.0%
2 97
 
0.4%
3 140
 
0.5%
4 209
 
0.8%
5 363
 
1.3%
6 367
 
1.4%
7 340
 
1.3%
8 434
 
1.6%
9 390
 
1.4%
ValueCountFrequency (%)
9821 1
 
< 0.1%
5394 1
 
< 0.1%
5000 96
0.4%
4999 1
 
< 0.1%
4997 1
 
< 0.1%
4996 1
 
< 0.1%
4989 1
 
< 0.1%
4987 2
 
< 0.1%
4981 1
 
< 0.1%
4979 1
 
< 0.1%

positive_ratings
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct2800
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1000.5585
Minimum0
Maximum2644404
Zeros667
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:38.781162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median24
Q3126
95-th percentile2132.6
Maximum2644404
Range2644404
Interquartile range (IQR)120

Descriptive statistics

Standard deviation18988.724
Coefficient of variation (CV)18.978125
Kurtosis14087.497
Mean1000.5585
Median Absolute Deviation (MAD)22
Skewness106.11239
Sum27090122
Variance3.6057166 × 108
MonotonicityNot monotonic
2023-04-18T07:02:39.061853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1484
 
5.5%
2 1151
 
4.3%
3 1097
 
4.1%
4 896
 
3.3%
5 762
 
2.8%
6 750
 
2.8%
0 667
 
2.5%
7 650
 
2.4%
8 625
 
2.3%
9 534
 
2.0%
Other values (2790) 18459
68.2%
ValueCountFrequency (%)
0 667
2.5%
1 1484
5.5%
2 1151
4.3%
3 1097
4.1%
4 896
3.3%
5 762
2.8%
6 750
2.8%
7 650
2.4%
8 625
2.3%
9 534
 
2.0%
ValueCountFrequency (%)
2644404 1
< 0.1%
863507 1
< 0.1%
515879 1
< 0.1%
496184 1
< 0.1%
363721 1
< 0.1%
329061 1
< 0.1%
308657 1
< 0.1%
292574 1
< 0.1%
255600 1
< 0.1%
251789 1
< 0.1%

negative_ratings
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1492
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.02715
Minimum0
Maximum487076
Zeros2906
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:39.321750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q342
95-th percentile476.3
Maximum487076
Range487076
Interquartile range (IQR)40

Descriptive statistics

Standard deviation4284.9385
Coefficient of variation (CV)20.305153
Kurtosis9124.8785
Mean211.02715
Median Absolute Deviation (MAD)8
Skewness88.638849
Sum5713560
Variance18360698
MonotonicityNot monotonic
2023-04-18T07:02:39.583980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2906
 
10.7%
1 2748
 
10.1%
2 1907
 
7.0%
3 1503
 
5.6%
4 1182
 
4.4%
5 981
 
3.6%
6 853
 
3.2%
7 652
 
2.4%
8 635
 
2.3%
9 541
 
2.0%
Other values (1482) 13167
48.6%
ValueCountFrequency (%)
0 2906
10.7%
1 2748
10.1%
2 1907
7.0%
3 1503
5.6%
4 1182
4.4%
5 981
 
3.6%
6 853
 
3.2%
7 652
 
2.4%
8 635
 
2.3%
9 541
 
2.0%
ValueCountFrequency (%)
487076 1
< 0.1%
402313 1
< 0.1%
142079 1
< 0.1%
139308 1
< 0.1%
91664 1
< 0.1%
77169 1
< 0.1%
66603 1
< 0.1%
59620 1
< 0.1%
56523 1
< 0.1%
56488 1
< 0.1%

average_playtime
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1345
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.80495
Minimum0
Maximum190625
Zeros20905
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:39.845196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile413
Maximum190625
Range190625
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1827.0381
Coefficient of variation (CV)12.196113
Kurtosis5082.4693
Mean149.80495
Median Absolute Deviation (MAD)0
Skewness59.52656
Sum4055969
Variance3338068.4
MonotonicityNot monotonic
2023-04-18T07:02:40.121385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20905
77.2%
1 156
 
0.6%
3 73
 
0.3%
2 58
 
0.2%
9 56
 
0.2%
6 44
 
0.2%
5 43
 
0.2%
4 42
 
0.2%
8 36
 
0.1%
13 36
 
0.1%
Other values (1335) 5626
 
20.8%
ValueCountFrequency (%)
0 20905
77.2%
1 156
 
0.6%
2 58
 
0.2%
3 73
 
0.3%
4 42
 
0.2%
5 43
 
0.2%
6 44
 
0.2%
7 36
 
0.1%
8 36
 
0.1%
9 56
 
0.2%
ValueCountFrequency (%)
190625 1
< 0.1%
95245 1
< 0.1%
95242 1
< 0.1%
63481 1
< 0.1%
55204 1
< 0.1%
54618 1
< 0.1%
44169 1
< 0.1%
43632 1
< 0.1%
43074 1
< 0.1%
38805 1
< 0.1%

median_playtime
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct1312
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.05603
Minimum0
Maximum190625
Zeros20905
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:40.405745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile408
Maximum190625
Range190625
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2353.8801
Coefficient of variation (CV)16.116281
Kurtosis4894.4417
Mean146.05603
Median Absolute Deviation (MAD)0
Skewness64.369367
Sum3954467
Variance5540751.4
MonotonicityNot monotonic
2023-04-18T07:02:40.669000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20905
77.2%
1 155
 
0.6%
3 72
 
0.3%
2 52
 
0.2%
9 48
 
0.2%
5 42
 
0.2%
6 41
 
0.2%
4 41
 
0.2%
8 39
 
0.1%
14 38
 
0.1%
Other values (1302) 5642
 
20.8%
ValueCountFrequency (%)
0 20905
77.2%
1 155
 
0.6%
2 52
 
0.2%
3 72
 
0.3%
4 41
 
0.2%
5 42
 
0.2%
6 41
 
0.2%
7 34
 
0.1%
8 39
 
0.1%
9 48
 
0.2%
ValueCountFrequency (%)
190625 1
< 0.1%
190489 1
< 0.1%
190445 1
< 0.1%
86148 1
< 0.1%
71857 1
< 0.1%
63490 1
< 0.1%
55204 1
< 0.1%
54618 1
< 0.1%
44169 1
< 0.1%
38805 1
< 0.1%

owners
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size211.6 KiB
0-20000
18596 
20000-50000
3059 
50000-100000
 
1695
100000-200000
 
1386
200000-500000
 
1272
Other values (8)
 
1067

Length

Max length19
Median length7
Mean length8.6541459
Min length7

Characters and Unicode

Total characters234311
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row10000000-20000000
2nd row5000000-10000000
3rd row5000000-10000000
4th row5000000-10000000
5th row5000000-10000000

Common Values

ValueCountFrequency (%)
0-20000 18596
68.7%
20000-50000 3059
 
11.3%
50000-100000 1695
 
6.3%
100000-200000 1386
 
5.1%
200000-500000 1272
 
4.7%
500000-1000000 513
 
1.9%
1000000-2000000 288
 
1.1%
2000000-5000000 193
 
0.7%
5000000-10000000 46
 
0.2%
10000000-20000000 21
 
0.1%
Other values (3) 6
 
< 0.1%

Length

2023-04-18T07:02:40.923120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0-20000 18596
68.7%
20000-50000 3059
 
11.3%
50000-100000 1695
 
6.3%
100000-200000 1386
 
5.1%
200000-500000 1272
 
4.7%
500000-1000000 513
 
1.9%
1000000-2000000 288
 
1.1%
2000000-5000000 193
 
0.7%
5000000-10000000 46
 
0.2%
10000000-20000000 21
 
0.1%
Other values (3) 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 171682
73.3%
- 27075
 
11.6%
2 24819
 
10.6%
5 6783
 
2.9%
1 3952
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 207236
88.4%
Dash Punctuation 27075
 
11.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171682
82.8%
2 24819
 
12.0%
5 6783
 
3.3%
1 3952
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 27075
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171682
73.3%
- 27075
 
11.6%
2 24819
 
10.6%
5 6783
 
2.9%
1 3952
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171682
73.3%
- 27075
 
11.6%
2 24819
 
10.6%
5 6783
 
2.9%
1 3952
 
1.7%

price
Real number (ℝ)

Distinct282
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0781932
Minimum0
Maximum421.99
Zeros2560
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:41.174043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.69
median3.99
Q37.19
95-th percentile16.99
Maximum421.99
Range421.99
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.8749223
Coefficient of variation (CV)1.2956025
Kurtosis420.81714
Mean6.0781932
Median Absolute Deviation (MAD)3
Skewness11.732951
Sum164567.08
Variance62.014401
MonotonicityNot monotonic
2023-04-18T07:02:41.782052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.99 3211
 
11.9%
0.79 2892
 
10.7%
0 2560
 
9.5%
6.99 2050
 
7.6%
7.19 1304
 
4.8%
1.69 1276
 
4.7%
2.09 1040
 
3.8%
4.79 847
 
3.1%
10.99 843
 
3.1%
2.89 793
 
2.9%
Other values (272) 10259
37.9%
ValueCountFrequency (%)
0 2560
9.5%
0.32 1
 
< 0.1%
0.49 1
 
< 0.1%
0.59 1
 
< 0.1%
0.72 6
 
< 0.1%
0.74 2
 
< 0.1%
0.75 2
 
< 0.1%
0.77 1
 
< 0.1%
0.78 25
 
0.1%
0.79 2892
10.7%
ValueCountFrequency (%)
421.99 1
 
< 0.1%
303.99 1
 
< 0.1%
209.99 1
 
< 0.1%
154.99 7
< 0.1%
114.99 1
 
< 0.1%
98.99 1
 
< 0.1%
95.99 1
 
< 0.1%
79.99 1
 
< 0.1%
78.99 2
 
< 0.1%
75.99 3
< 0.1%

Year
Real number (ℝ)

Distinct23
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.4981
Minimum1997
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size211.6 KiB
2023-04-18T07:02:42.018628image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2012
Q12016
median2017
Q32018
95-th percentile2019
Maximum2019
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.15699
Coefficient of variation (CV)0.0010696712
Kurtosis6.0828782
Mean2016.4981
Median Absolute Deviation (MAD)1
Skewness-2.0421563
Sum54596686
Variance4.6526059
MonotonicityNot monotonic
2023-04-18T07:02:42.256260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2018 8160
30.1%
2017 6357
23.5%
2016 4361
16.1%
2015 2597
 
9.6%
2019 2213
 
8.2%
2014 1555
 
5.7%
2013 418
 
1.5%
2012 320
 
1.2%
2009 305
 
1.1%
2011 239
 
0.9%
Other values (13) 550
 
2.0%
ValueCountFrequency (%)
1997 1
 
< 0.1%
1998 1
 
< 0.1%
1999 2
 
< 0.1%
2000 2
 
< 0.1%
2001 4
 
< 0.1%
2002 1
 
< 0.1%
2003 3
 
< 0.1%
2004 6
 
< 0.1%
2005 6
 
< 0.1%
2006 48
0.2%
ValueCountFrequency (%)
2019 2213
 
8.2%
2018 8160
30.1%
2017 6357
23.5%
2016 4361
16.1%
2015 2597
 
9.6%
2014 1555
 
5.7%
2013 418
 
1.5%
2012 320
 
1.2%
2011 239
 
0.9%
2010 238
 
0.9%

Interactions

2023-04-18T07:02:29.269719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:09.542542image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:11.679484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:14.892130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:18.128796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:20.348742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:22.666128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:24.837180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:27.070027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:29.587420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:09.752633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:11.918025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:15.260717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:18.518596image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:20.575032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:22.898194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:25.083397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:27.287805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:29.967545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:10.000734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:12.194203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:15.623103image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:18.753587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:20.811804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:23.141810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:25.341085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:27.518469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:30.330560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:10.251800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:12.452586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:16.007109image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:18.981578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:21.027248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:23.382511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:25.586616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:27.744453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:30.682376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:10.503138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:13.314498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:16.350233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:19.201876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:21.251414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:23.626106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:25.829029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:27.951922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:30.935824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:10.746435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:13.571133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:16.686390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:19.422991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:21.472826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:23.858217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:26.077590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:28.164099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:31.328557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:10.994675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:13.863580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:17.038151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:19.681616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:21.714174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:24.116860image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:26.340070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:28.404244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:31.637961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:11.252145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:14.197566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:17.432948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:19.922673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:21.954292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:24.376019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:26.589552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:28.682950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:32.002073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:11.463625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:14.539716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:17.741279image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:20.128090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:22.175072image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:24.617791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:26.833677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-04-18T07:02:28.926509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-04-18T07:02:42.456414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
appidrequired_ageachievementspositive_ratingsnegative_ratingsaverage_playtimemedian_playtimepriceYearenglishplatformsowners
appid1.000-0.082-0.113-0.548-0.565-0.424-0.423-0.2410.9010.1270.0900.206
required_age-0.0821.0000.0640.1270.1330.1300.1280.101-0.0680.0020.0360.108
achievements-0.1130.0641.0000.3030.2060.1730.1730.190-0.0440.0000.0080.011
positive_ratings-0.5480.1270.3031.0000.8300.5840.5830.205-0.4560.0000.0060.791
negative_ratings-0.5650.1330.2060.8301.0000.5950.5940.142-0.4960.0000.0000.628
average_playtime-0.4240.1300.1730.5840.5951.0000.9990.079-0.3800.0090.0090.216
median_playtime-0.4230.1280.1730.5830.5940.9991.0000.083-0.3800.0270.0080.014
price-0.2410.1010.1900.2050.1420.0790.0831.000-0.1280.0000.0000.015
Year0.901-0.068-0.044-0.456-0.496-0.380-0.380-0.1281.0000.0860.0750.237
english0.1270.0020.0000.0000.0000.0090.0270.0000.0861.0000.0650.045
platforms0.0900.0360.0080.0060.0000.0090.0080.0000.0750.0651.0000.060
owners0.2060.1080.0110.7910.6280.2160.0140.0150.2370.0450.0601.000

Missing values

2023-04-18T07:02:33.044498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-04-18T07:02:33.678119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

appidnamerelease_dateenglishdeveloperpublisherplatformsrequired_agecategoriesgenressteamspy_tagsachievementspositive_ratingsnegative_ratingsaverage_playtimemedian_playtimeownerspriceYear
010Counter-Strike2000-11-011ValveValvewindows;mac;linux0Multi-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabledActionAction;FPS;Multiplayer012453433391761231710000000-200000007.192000
120Team Fortress Classic1999-04-011ValveValvewindows;mac;linux0Multi-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabledActionAction;FPS;Multiplayer03318633277625000000-100000003.991999
230Day of Defeat2003-05-011ValveValvewindows;mac;linux0Multi-player;Valve Anti-Cheat enabledActionFPS;World War II;Multiplayer03416398187345000000-100000003.992003
340Deathmatch Classic2001-06-011ValveValvewindows;mac;linux0Multi-player;Online Multi-Player;Local Multi-Player;Valve Anti-Cheat enabledActionAction;FPS;Multiplayer012732672581845000000-100000003.992001
450Half-Life: Opposing Force1999-11-011Gearbox SoftwareValvewindows;mac;linux0Single-player;Multi-player;Valve Anti-Cheat enabledActionFPS;Action;Sci-fi052502886244155000000-100000003.991999
560Ricochet2000-11-011ValveValvewindows;mac;linux0Multi-player;Online Multi-Player;Valve Anti-Cheat enabledActionAction;FPS;Multiplayer02758684175105000000-100000003.992000
670Half-Life1998-11-081ValveValvewindows;mac;linux0Single-player;Multi-player;Online Multi-Player;Steam Cloud;Valve Anti-Cheat enabledActionFPS;Classic;Action02775511001300835000000-100000007.191998
780Counter-Strike: Condition Zero2004-03-011ValveValvewindows;mac;linux0Single-player;Multi-player;Valve Anti-Cheat enabledActionAction;FPS;Multiplayer01212014394274310000000-200000007.192004
8130Half-Life: Blue Shift2001-06-011Gearbox SoftwareValvewindows;mac;linux0Single-playerActionFPS;Action;Sci-fi038224203612055000000-100000003.992001
9220Half-Life 22004-11-161ValveValvewindows;mac;linux0Single-player;Steam Achievements;Steam Trading Cards;Captions available;Partial Controller Support;Steam Cloud;Includes Source SDKActionFPS;Action;Sci-fi3367902241969140210000000-200000007.192004
appidnamerelease_dateenglishdeveloperpublisherplatformsrequired_agecategoriesgenressteamspy_tagsachievementspositive_ratingsnegative_ratingsaverage_playtimemedian_playtimeownerspriceYear
27065106356012 HOURS2019-04-241Second RealitySecond Realitywindows0Single-playerAction;Indie;Simulation;Early AccessEarly Access;Action;Indie091000-200002.092019
270661064060The Mystery of Bikini Island2019-04-241Velvet Paradise GamesVelvet Paradise Gameswindows0Single-playerAdventure;Casual;Indie;RPG;Early AccessEarly Access;Adventure;Sexual Content030000-200000.792019
270671064580CaptainMarlene2019-04-231DnovelDnovelwindows0Single-playerAdventure;Indie;Early AccessEarly Access;Indie;Adventure0130000-200009.292019
270681064890Old Edge II2019-04-231LTrustLTrustwindows0Single-playerAdventure;Casual;Indie;SimulationIndie;Casual;Adventure040000-200000.792019
270691065160Deatherem2019-04-231AnimaTeam Syukinowindows0Single-player;Steam AchievementsIndieIndie;Horror;First-Person122000-200002.092019
270701065230Room of Pandora2019-04-241SHEN JIAWEISHEN JIAWEIwindows0Single-player;Steam AchievementsAdventure;Casual;IndieAdventure;Indie;Casual730000-200002.092019
270711065570Cyber Gun2019-04-231Semyon MaximovBekkerDev Studiowindows0Single-playerAction;Adventure;IndieAction;Indie;Adventure081000-200001.692019
270721065650Super Star Blast2019-04-241EntwicklerXEntwicklerXwindows0Single-player;Multi-player;Co-op;Shared/Split Screen;Steam Achievements;Full controller support;Steam CloudAction;Casual;IndieAction;Indie;Casual2401000-200003.992019
270731066700New Yankee 7: Deer Hunters2019-04-171Yustas Game StudioAlawar Entertainmentwindows;mac0Single-player;Steam CloudAdventure;Casual;IndieIndie;Casual;Adventure020000-200005.192019
270741069460Rune Lord2019-04-241Adept Studios GDAlawar Entertainmentwindows;mac0Single-player;Steam CloudAdventure;Casual;IndieIndie;Casual;Adventure040000-200005.192019